{"id":"W2338072960","doi":"","title":"Citizen Media Research and Verification: An Analytical Framework for Human Rights Practitioners","year":2016,"lang":"en","type":"other","venue":"Apollo (University of Cambridge)","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"University of Oxford; Yale University","keywords":"Human rights; Space (punctuation); Corporate governance; Work (physics); Media studies; Political science; Library science; Sociology; Public relations; Law; Engineering; Management; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006678707,0.00008852612,0.0002163585,0.0002081051,0.001190181,0.00002259567,0.0004488797,0.0002872066,0.0007468321],"category_scores_gemma":[0.0001220486,0.0000936151,0.00005218724,0.000178664,0.001381973,0.0001110656,0.00009056976,0.0001807987,0.00003550253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008384296,"about_ca_system_score_gemma":0.00009888409,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009973251,"about_ca_topic_score_gemma":0.01390206,"domain_scores_codex":[0.9987882,0.000239327,0.00008226401,0.0002517007,0.0004122258,0.0002262246],"domain_scores_gemma":[0.9985116,0.0005584438,0.0001589139,0.0004022149,0.0002130449,0.0001558499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001735174,0.00003175158,0.00004069147,0.00001589147,0.00004553767,9.488103e-7,0.002051678,3.053363e-9,0.000004276681,0.7678368,0.229,0.0009550424],"study_design_scores_gemma":[0.0002591418,0.00005757288,0.0005260379,0.0001147231,0.00004157494,1.584956e-7,0.008767998,0.000002753344,0.000001658675,0.0155113,0.9745942,0.0001228431],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001791289,0.0002781512,0.002326297,0.007901412,0.0002061439,0.0006089284,0.0001357608,0.00008205899,0.98667],"genre_scores_gemma":[0.1004906,0.002756791,0.007250164,0.00003939205,0.00116389,0.00000681662,0.0001915633,0.00008580572,0.888015],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7523255,"threshold_uncertainty_score":0.9966194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1061859174964769,"score_gpt":0.3993714600304343,"score_spread":0.2931855425339575,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}